{"id":"W4399801074","doi":"10.1109/ichms59971.2024.10555670","title":"FedStar Caching: Decision Center Assisted Federated Cooperative Edge Caching","year":2024,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Concordia University","funders":"","keywords":"Computer science; Enhanced Data Rates for GSM Evolution; Center (category theory); Computer network; Edge device; Operating system; Telecommunications; Cloud computing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004126485,0.0002394511,0.0002126862,0.0002042903,0.0004737307,0.002042176,0.000553614,0.00008424385,0.00006281339],"category_scores_gemma":[0.00007240113,0.0001826476,0.0001399781,0.0005046242,0.00002519081,0.0009239285,0.000327283,0.0004120549,0.0003796979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001344546,"about_ca_system_score_gemma":0.0001288531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003434485,"about_ca_topic_score_gemma":0.0001646019,"domain_scores_codex":[0.9981488,0.0001500419,0.0003109043,0.0006730754,0.000358493,0.0003587044],"domain_scores_gemma":[0.9990247,0.000287991,0.0000308089,0.0003879569,0.0001217757,0.0001467077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001153945,0.0005891249,0.001388057,0.00009463578,0.0004639735,0.001636476,0.003180431,0.003888456,0.04137064,0.101195,0.1423265,0.7037514],"study_design_scores_gemma":[0.0006515202,0.000142449,0.0008581397,0.0003433771,0.00001677537,0.0001926948,0.0001344167,0.9718333,0.001259685,0.0004024491,0.02361282,0.0005524046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1010071,0.0006239319,0.8780845,0.001397489,0.002076655,0.0001651008,0.000007590219,0.001133637,0.01550396],"genre_scores_gemma":[0.9921973,0.00001695361,0.002449258,0.0009823811,0.0001340596,0.000008302062,0.00001487359,0.00001989092,0.00417696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9679448,"threshold_uncertainty_score":0.9989938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02383044025611283,"score_gpt":0.266357943351631,"score_spread":0.2425275030955182,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}